similar to: Support vector model?

When syncing one backup system (running dirvish, but that's not really relevant) to a second long-term backup system which uses btrfs snapshots, I get the following output: rsync: link "/parasite.oob.telegraaf.net/vservers-var-www/tree/elo/var/www/lokaalx/openx-htdocs/etc/xmlcache/.svn/prop-base/cache_etc-changes_schema-tables-core-12934.bin.svn-base" (in backup-aquagirl) =>

I have a host-parasite association matrix in which parasite species are rows and host species columns and cells contain the frequency of interactions. Some parasites are associated with many hosts, and some hosts harbor several parasites, and I want to repeatedly select only one single representative host per "generalized" (multi-host) parasite to create a new matrix in which no hosts

Dear all, I have tried to calculate a GLMM fit with lmer (lme4) and glmmPQL (MASS), I also used glm for comparison. I am getting very different results from different functions, and I suspect that the problem is with our dataset rather than the functions, but I would appreciate help in deciding whether my suspicions are right. If indeed we are attempting the wrong type of analysis, some

Hi everyone, I determined the presence of three types parasites in a passerine bird over two years. I would like to create a bar chart that shows the proportion infected on the y and year/parasite on the x such that each type of parasite is grouped together (single label) and a bar for each year . This would show if there have been changes in the prevalence of a the parasite over two years.

Hello all, I am hoping to use survival analysis to examine whether parasite attack increases nest death in a species of social wasp. I therefore have data for 1. Whether the nest "died" in the 6 week census period ("Status", where 1=died, 0=survived) 2. The day number of death/last recorded day it was observed alive. 3. Whether the nest was attacked by the parasite (0/1 as

Announcing the the 0.2.0 release of parasite and the camping_generator. Parasite (from the project page -- http://parasite.rubyforge.org/): Camping app developers no longer have any reason to envy their Ruby on Rails friends: Parasite brings generators, environments, and other Rails-y goodness to the world of Camping app development. Parasite is currently at version 0.2. The Parasite package is

Hi, I would like some extra information on the 'cgh' package in R. I noticed that there isn't much activity regarding this package on the R and BioC mailing list (I googled it). I started using this package and I have few questions: 1/ As I have a custom tiling like array @8um features resolution (affy), I have a lot of probes to work with. I'm assuming it is correct to

Dear all, I'm building binomial mixed-model using lme4 package. I'm able to obtain outputs properly except when I include two particular variables: date (from 23 to 34; 1 being to first sampling day) and Latitude (UTM/100 000, from 55.42 to 56.53). No "NA" is any of those variables. In those cases, I get the warning message: "nlminb failed to converge" I tried to

Hi R people! I am looking for some suggestions writing an if-else function. The idea is to characterize different plots containing counts of variables (here parasites). If a plot has a count equal or higher than 4 for any parasite the function should return a 1 else a 0. Later I can loop the function over all plots. Here I have a little subset of my data: VariablePAR Plot1

Hi, I am trying to fit a non-linear model for a parasite dataset. Initially, I tried log-transforming the data and conducting a 2-way ANCOVA, and found that the equal variance of populations and normality assumptions were violated. Gaba et al. (2005) suggests that the Weibull Distribution is best for highly aggregated parasite distributions, and performs better (lower type 1 and 2 error rates)

Good afternoon all - While making a steady progress in learning R after Matlab I encountered a problem which seems to require some extra help to move over. Basically I want to merge a data from biological statistical dataset with annotation data extracted from another dataset using an 'id' crossreference and write it to report file. The first part goes absolutely fine, I have merged both

Hi, I am running a mixed-effect model with a nested-random effect. I am interested in gut parasites in moose. I has three different type of treatment that I applied to moose which are from different "families". My response variable is gut parasites and the factors are moose families which is nested within treatment. My data is balanced. To answer this question, I used the lme function

Is there a cable length limit to use with a fxsmod (TDM400B) ? I noticed that if I use a very long cable 148 feet, I can hear some parasite : I hear the radio ! If I use a short cable, there is no problem... Thanks for help, St?phane HENRY

Hi, Default register allocator tries to reuse the same registers over and over again even if register file have a plenty of registers to use. This creates parasite false dependencies and makes scheduling less effective. How to instruct allocator (may be override some virtual function in mine backend?) that it is profitable to use maximum number of available registers with minimal dependencies?

All, I see this item on the merb-0.0.8 release notes Added rails session parasite mode. I am assuming merbs can piggy back off the rails current session. How does one achieve that ? Thanks Fernand -------------- next part -------------- An HTML attachment was scrubbed... URL: http://rubyforge.org/pipermail/merb-devel/attachments/20070112/0803f46e/attachment.html

Hi, I have a problem concerning discrepances between R (which I use) and Statistica (which uses my supervisor). I can't say what is the origin of these differences but unfortunately my supervisor doesn't know that either. Our response variable is number (or presence/absence) of parasites in rodents and explanatory variables are presence/absence of several alleles. The rodents were

I have run a glm with a final formula of : (dependent variable = parasite load, main effects are sex, month, length and weight, with sex:month and length:weight first order interactions). I am using the summary(mod) command to give me the contrasts, which I believe use the contr.treatment command. I do not have a treatment group as such as I am comparing data from a wild system so I use the

Hello, Say the original type is Integer i16*,&nbsp; I want to create a v16i16* type to replace it. static Type *getVectorPtr(Type *Ty) { &nbsp; &nbsp; PointerType *PointerTy = dyn_cast<PointerType&gt;(Ty); &nbsp; &nbsp; assert(PointerTy &amp;&amp; "PointerType expected"); &nbsp; &nbsp; unsigned addSpace = PointerTy-&gt;getAddressSpace();

I have a set of data that comprises genome numbers in single eggs from three different parasite clones - 3D7, HB3, and MIX. I can draw a boxplot of the genome numbers for each clonefed but how do I carry out a t test or ANOVA to compare if the means are signifcantly different? (Data is listed below) Many thanks, Georgina Humphreys clonefed genomes HB3 21.3 HB3 23.5 HB3 25.9 3D7 27.2 HB3 28.1

Hi. I am trying to load the package fSeries, in order to load the package fGarch after. However, it says the following message. > local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Loading required package: fBasics (Error : ... infinite recursion) Loading required package: fImport Loading required package: fSeries Loading